Data Warehousing Concepts, Performance Tuning, Pyspark, Azure Databricks, Sql Development, ETL frameworks, Git-based source control, Azure Data Engineering, Delta Lake, Lakehouse architecture

Amazon Redshift, Snowflake Data Warehouse, AWS S3 Simple Storage Service, AWS DynamoDB

snowflake , Data Management, Data Warehouse, Sql, Data Quality, Flask, FastAPI, Data Governance, Restful Apis, Python, Etl, Business Analytics, Cloud-native technologies, Business Intelligence

snowflake , Data Modeling, Kafka, Sql, ELT, Git, Gcp, Streams, Azure, Python, AWS, Etl, Airflow, Tasks, Dynamic Tables, Performance Cost Optimization, CI CD, Snowpark, dbt, Stored Procedures, Fivetran

data engineering , snowflake , Containers, ELT, Nlp, Flask, Python, Pyspark, Sql, Databricks, FastAPI, Azure, Etl, Agent orchestration, Claude, retrieval optimisation, CI CD, GPT, LangGraph, Streamlit, RAG pipelines, LangChain, LLMs, Cloud platforms, Agentic AI, tool-calling architectures, OpenAI

Github, Cloudformation, Gcp, Bitbucket, Terraform, Advanced Sql, Python, Data Engineering Tooling, DBT governance, Airflow optimization, Data modelling facts dimensions SCDs, DBT Cloud experience models SCDs tests macros, BigQuery tuning, CI CD tools, Cloud security and IAM best practices, GCP Big Query optimization and cost management, Data quality frameworks, Cross-cloud pipelines, Airflow workflows, Data pipeline development

Data Modeling, Sql, Spark, Data Integration, Python, data pipeline development, OneLake, schema management, data quality frameworks, Reconciliation, incremental processing, Pipelines, Notebooks, performance optimization, partitioning, Lakehouse architecture, Microsoft Fabric, Azure data services, Validation